Nivara helps teams understand, control, and optimize their AI spend

AI systems now run on complex chains of models, agents, and APIs, yet most teams still lack visibility into where their tokens, time, or compute go. Nivara gives engineering and finance teams full transparency into AI model and agent usage. Nivara tracks every LLM and agent call, across users, sessions, and workflows, to reveal real spend insights. Teams use Nivara to see which agents or models drive the most spend, what each user session costs, and how to optimize prompts or caching to save budget without hurting quality. By unifying token analytics, agent observability, and AI FinOps, Nivara helps teams manage AI usage responsibly, efficiently, and predictably, from startups experimenting with AI features to enterprises orchestrating thousands of agents. Nivara — Know where your AI dollars go.

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Total Open and Closed Positions

Total open positions, and positions newly closed since the previous update

Department Headcount Over Time

Open positions per department · top 6 at any point in the window

Newly Opened and Closed Positions

Position Churn Rate

Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels

Time-to-Fill Distribution

Days from open to close · closed positions only

Salary Trend Over Time

Monthly median base salary · USD · annualized · p25/p75 dashed

Salary Range by Department

Employment Type

Technical vs. Non-technical

Open positions · by department

Top Roles by Department

Seniority Mix

Derived from job title keywords

Equity Range by Department

Top Skills

Top Tech Stacks

Skills Trend

Change in share of postings · recent 3 months vs. prior 3 months

Tech Stack Evolution

Positions opened per month · top 5 technologies